Abaixo está uma instrução que descreve uma tarefa de geração de SQL, combinada com uma entrada que fornece mais contexto sobre os esquemas de tabela disponíveis. Escreva o código SQL que responda adequadamente à solicitação
 ###Instrução: Qual é o tamanho da multidão para o jogo em que o time visitante South Melbourne jogou?
 ###Tabelas: CREATE TABLE economies_of_member_states (economies_of_member_states_id AUTO_INCREMENT PRIMARY KEY, Member State sorted by GDP VARCHAR, GDP in s billion of USD (2012) VARCHAR, GDP % of EU (2012) VARCHAR, Annual change % of GDP (2012) VARCHAR, GDP per capita in PPP US$ (2012) INT, Public Debt % of GDP (2013 Q1) VARCHAR, Deficit (-)/ Surplus (+) % of GDP (2012) VARCHAR, Inflation % Annual (2012) VARCHAR, Unemp. % 2013 M7 VARCHAR) CREATE TABLE district_122_gross_revenue_by_sources (district_122_gross_revenue_by_sources_id AUTO_INCREMENT PRIMARY KEY, Year INT, Property Taxes VARCHAR, Investment Earnings VARCHAR, Other Local Sources VARCHAR, State & Federal VARCHAR, Total Revenue VARCHAR) CREATE TABLE round_12 (round_12_id AUTO_INCREMENT PRIMARY KEY, Home team VARCHAR, Home team score VARCHAR, Away team VARCHAR, Away team score VARCHAR, Venue VARCHAR, Crowd INT, Date VARCHAR) CREATE TABLE doubles:_10_5–5 (doubles:_10_5–5_id AUTO_INCREMENT PRIMARY KEY, Outcome VARCHAR, Date VARCHAR, Tournament VARCHAR, Surface VARCHAR, Partner VARCHAR, Opponents in the final VARCHAR, Score in the final VARCHAR) CREATE TABLE five-year_average (five-year_average_id AUTO_INCREMENT PRIMARY KEY, Country Name VARCHAR, 1961-65 VARCHAR, 1966-70 VARCHAR, 1971-75 VARCHAR, 1976-80 VARCHAR, 1981-85 VARCHAR, 1986-90 VARCHAR, 1991-95 VARCHAR, 1996–2000 VARCHAR, 2001-05 VARCHAR, 2006-10 VARCHAR)  
SELECT AVG Crowd FROM round_12 WHERE Away team = south melbourne